Repository Description
This repository contains a set of MATLAB models for the techno-economic analysis (TEA) of Power-to-X pathways, with a focus on Power-to-Ammonia and Power-to-Methanol systems. The code describes the full value chain, from renewable electricity generation to e-fuel production and final use in internal combustion engines.
Code Structure and Scope
- E-fuel synthesis models
Core models for techno-economic analysis of synthetic fuel production: ammoniasynthesis.m:Techno-economic model of green ammonia synthesis (Power-to-Ammonia). methanolsythesis.m:Techno-economic model of methanol synthesis (Power-to-Methanol).
- Fully renewable scenarios (wind-based systems)
Development of 100% renewable scenarios based on wind power as the primary energy source, including different storage and system integration strategies: methanolsywindfarm.m: Wind-powered e-methanol production with system sizing and techno-economic evaluation. greenammonia_windplushydrogenstorage.m: Wind-based green ammonia production including hydrogen storage to handle intermittency.
battery.m
Advanced green ammonia scenario with: wind power electrolysis hydrogen storage battery park Includes integrated techno-economic analysis of the full system.
- End-use: internal combustion engines fueled by e-fuels
Techno-economic and performance analysis of internal combustion engines (ICEs) operating on synthetic fuels: methanolengine1.m: Techno-economic analysis of a methanol-fueled internal combustion engine. ammoniaengine.m: Techno-economic analysis of an ammonia-fueled internal combustion engine.
Purpose The repository enables: end-to-end techno-economic assessment of Power-to-Ammonia and Power-to-Methanol pathways; evaluation of wind-based, fully renewable e-fuel production systems; analysis of the impact of hydrogen storage and batteries on system cost and performance; linkage between fuel production TEA and final energy conversion in ICEs.